C11 Introduction to Autonomy - MIT Schwarzman College of Computing

Offered under: 6.S080, 16.S690
Term(s): Spring
Level: Undergraduate
Units: 6
Prerequisite: 6.100A or 6.100L
Instructor: Sertac Karaman (AeroAstro)

Provides an introduction to computational principles that underlie autonomous robots and vehicles. Topics include planning on state-space graphs, estimation of probabilistic belief state, formulating constraint programs, and reinforcement learning of optimal decision-making policies.